Voice response method based on neural network, storage medium and terminal equipment
The invention discloses a voice response method based on a neural network, a storage medium and terminal equipment, and the method comprises the steps: determining corresponding response voice according to user voice when the user voice inputted by a user is received; inputting the response voice in...
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| creator | ZHAO ZHIBAO |
| description | The invention discloses a voice response method based on a neural network, a storage medium and terminal equipment, and the method comprises the steps: determining corresponding response voice according to user voice when the user voice inputted by a user is received; inputting the response voice into a preset expression feature generation model to obtain an expression feature sequence corresponding to the response voice; and determining a facial expression sequence corresponding to the response voice according to the expression feature sequence, and controlling a preset virtual image to playthe response voice and synchronously play the facial expression sequence. According to the invention, the expression feature sequence corresponding to the response voice is determined through the preset expression feature generation model; according to the facial expression corresponding to the expression feature sequence, the facial expression when the virtual image plays the response voice is controlled, so that the res |
| format | Patent |
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According to the invention, the expression feature sequence corresponding to the response voice is determined through the preset expression feature generation model; according to the facial expression corresponding to the expression feature sequence, the facial expression when the virtual image plays the response voice is controlled, so that the res</description><language>chi ; eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; MUSICAL INSTRUMENTS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200707&DB=EPODOC&CC=CN&NR=111383642A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200707&DB=EPODOC&CC=CN&NR=111383642A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHAO ZHIBAO</creatorcontrib><title>Voice response method based on neural network, storage medium and terminal equipment</title><description>The invention discloses a voice response method based on a neural network, a storage medium and terminal equipment, and the method comprises the steps: determining corresponding response voice according to user voice when the user voice inputted by a user is received; inputting the response voice into a preset expression feature generation model to obtain an expression feature sequence corresponding to the response voice; and determining a facial expression sequence corresponding to the response voice according to the expression feature sequence, and controlling a preset virtual image to playthe response voice and synchronously play the facial expression sequence. According to the invention, the expression feature sequence corresponding to the response voice is determined through the preset expression feature generation model; according to the facial expression corresponding to the expression feature sequence, the facial expression when the virtual image plays the response voice is controlled, so that the res</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzbsKAjEQheE0FqK-w9hrESNiK4tiZbXYLuNmXIObmZgLvr4RfACrv_k4Z6raq7ieIFIKwonAU36IhRsmsiAMTCXiWJPfEp8rSFkiDl9nXfGAbCFT9I4roldxwRPnuZrccUy0-HWmlqdj25zXFKSrT9hTHeyai9ba7M1uuzmYf8wHpPk48Q</recordid><startdate>20200707</startdate><enddate>20200707</enddate><creator>ZHAO ZHIBAO</creator><scope>EVB</scope></search><sort><creationdate>20200707</creationdate><title>Voice response method based on neural network, storage medium and terminal equipment</title><author>ZHAO ZHIBAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111383642A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHAO ZHIBAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHAO ZHIBAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Voice response method based on neural network, storage medium and terminal equipment</title><date>2020-07-07</date><risdate>2020</risdate><abstract>The invention discloses a voice response method based on a neural network, a storage medium and terminal equipment, and the method comprises the steps: determining corresponding response voice according to user voice when the user voice inputted by a user is received; inputting the response voice into a preset expression feature generation model to obtain an expression feature sequence corresponding to the response voice; and determining a facial expression sequence corresponding to the response voice according to the expression feature sequence, and controlling a preset virtual image to playthe response voice and synchronously play the facial expression sequence. According to the invention, the expression feature sequence corresponding to the response voice is determined through the preset expression feature generation model; according to the facial expression corresponding to the expression feature sequence, the facial expression when the virtual image plays the response voice is controlled, so that the res</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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| subjects | ACOUSTICS CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS MUSICAL INSTRUMENTS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
| title | Voice response method based on neural network, storage medium and terminal equipment |
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